Machine Vision Engineer

BlackBox Factories; Hyderabad; On-site; INR 1,100,000 - 1,700,000; Full time

Job summary

BlackBox Factories in Hyderabad seeks a Computer Vision Engineer to build and refine vision systems powering industrial automation. You will design optical configurations, develop real-time image processing, deploy ML models, and integrate vision with robotic systems.

Qualifications include 2+ years in machine vision, strong C++/C#, Python, OpenCV and industrial libraries, plus GUI and vendor SDK experience. Hybrid collaboration across teams is expected.

Qualifications

• Bachelor's or master's degree in a relevant engineering field.
• 2+ years of professional experience in machine vision or automation.
• Strong C++ or C# with working Python knowledge.
• Hands-on OpenCV and industrial libraries (Halcon/VisionPro).
• Shipped ML/AI models deployed to production.
• Experience with GUI frameworks (Qt/WPF/PySide).
• Vendor SDKs in live production apps; Git and testing best practices.
• Understanding of multithreading and real-time constraints.
• Self-directed, capable of coding with minimal guidance.

Responsibilities

• Build and refine computer vision systems powering automation.
• Design optical configurations for inspection tasks.
• Develop and optimize real-time image processing algorithms.
• Deploy ML models into production environments.
• Integrate vision hardware with robotic systems.
• Debug and profile algorithms for performance gains.

Skills

Computer Vision

Machine Learning

C++

C#

Python

OpenCV

Multithreading

GUI development

Vendor SDKs

Git

Performance optimization

TensorRT

Education

Bachelor's in Computer Science

Bachelor's in Electronics/Electrical

Masters in Mechatronics

Tools

OpenCV

Halcon

VisionPro

Matrox

pylon vTools

Qt

WPF

PySide

Git

CUDA

TensorRT

Job description

Batch: 2020/2021/2022/2023/2024.

About the role:

• Build and refine computer vision systems that power industrial automation and quality control
• Design optical configurations tailored to specific inspection and measurement tasks
• Develop and optimize algorithms for real-time image processing and analysis
• Deploy machine learning models into production environments
• Integrate vision hardware with robotic and automated manufacturing systems
• Debug and enhance algorithms through profiling and performance tuning

What you'll work on:

• Optical system design including field of view, working distance, focal length, magnification, depth of field, and pixel-level precision
• Calibration workflows, distortion correction, and coordinate transformation logic
• Real-time multithreaded image processing pipelines
• Integration with industrial camera SDKs and frame-grabber hardware
• User interface development for vision applications
• Algorithm validation, testing procedures, and code review practices

What we're looking for:

• Bachelor's or Master's degree in Computer Science, Electronics and Communication Engineering, Electrical Engineering, or Mechatronics
• 2 or more years of professional experience in machine vision, computer vision, robotics, or automation
• Strong C++ or C# proficiency with working knowledge of Python
• Hands‑on experience with OpenCV and/or industrial libraries such as Halcon, VisionPro, Matrox, or pylon vTools
• Demonstrated ability to build and train machine learning or AI models that have been shipped to production
• Working knowledge of at least one GUI framework: Qt/QML, WPF/.NET, or PySide
• Proficiency with vendor SDKs in live production applications
• Understanding of multithreading, performance profiling, and real-time constraints
• Competence with version control (Git), automated testing, and peer code review
• Self-directed approach to algorithm development with minimal guidance

Bonus skills and experience:

• Telecentric or macro optics, line-scan imaging, Scheimpflug principle, modulation transfer function (MTF), lens characterization
• Industrial camera interfaces: CoaXPress, 10 GigE, frame grabbers, strobe and lighting controllers
• Specialist platforms including Halcon, Cognex, or Keyence
• 2D and 3D vision techniques, surface profilometry, or precision metrology
• Deep learning applications for defect detection and anomaly identification
• DataMatrix or OCR barcode inspection with ISO/IEC 15415 and 15416 quality grading
• GPU acceleration frameworks such as CUDA or TensorRT
• Industrial protocols: EtherCAT, OPC UA, PROFINET
• Statistical quality methods: Gauge R&R, statistical process control (SPC), traceability systems, fault recovery mechanisms